Julian O. Matschinske
According to our database1,
Julian O. Matschinske
authored at least 9 papers
between 2018 and 2022.
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Bibliography
2022
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Bioinform., October, 2022
Federated machine learning for a facilitated implementation of Artificial Intelligence in healthcare - a proof of concept study for the prediction of coronary artery calcification scores.
J. Integr. Bioinform., 2022
Federated Random Forests can improve local performance of predictive models for various healthcare applications.
Bioinform., 2022
2021
CoRR, 2021
CoRR, 2021
Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research.
Briefings Bioinform., 2021
2020
2019
Proceedings of the Advances in Database Technology, 2019
2018
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018